Title
Dynamic Resource Allocation of Delay Sensitive Users Using Interactive Learning over Multi-Carrier Networks
Abstract
In this paper, we study distributed solutions for joint power-spectrum resource allocation among delay sensitive users over multi-carrier networks. Our work differs from prior research in two ways. First, unlike prior works that only consider the impact of effective throughput of a user, our work also considers the source traffic characteristics of applications and applies queuing analysis to quantify the packet transmission delay, which is especially important to a delay sensitive user. Secondly, most prior works focus on the equilibrium of the decentralized solutions that usually require global information in a static network. Instead, we focus on interactive adaptation methods for users to dynamically maximize their expected utility based on the local observed information. We propose an interactive learning framework for users to adapt their power/channel selection to the wireless networks with interference coupling among users. Our simulation results show that the proposed interactive learning approach with information exchange among users improves the total utility significantly.
Year
DOI
Venue
2008
10.1109/ICC.2008.474
ICC
Keywords
Field
DocType
power/channel selection,learning (artificial intelligence),interactive learning,queuing analysis,multicarrier networks,queueing theory,resource allocation,wireless networks,channel allocation,delay sensitive users,interference coupling,wireless sensor networks,dynamic resource allocation,joint power-spectrum resource allocation,packet transmission delay,interference (signal),wireless network,expected utility,power control,interference,power spectrum,resource management,information exchange,throughput,indexing terms,learning artificial intelligence
Resource management,Wireless network,Interactive Learning,Computer science,Information exchange,Computer network,Real-time computing,Resource allocation,Throughput,Channel allocation schemes,Wireless sensor network
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4244-2075-9
2
PageRank 
References 
Authors
0.40
5
3
Name
Order
Citations
PageRank
Hsien-Po Shiang134317.42
Wen-chi Tu221.07
Mihaela Van Der Schaar33968352.59